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Kevin Ruprecht
Analytics @ WellSky.
Kevin Ruprecht is currently the Data Engineering Technical Lead at WellSky, where he plays a pivotal role in leading a team of data engineers within the Payer business unit. His responsibilities include guiding technical strategy, long-term planning, prioritization, and project management, while also engaging in individual project work. Ruprecht has over a decade of experience in the analytics industry, encompassing data science, data analytics, and data engineering.12
Ruprecht's academic journey began with a focus on pharmacology, but after discovering his passion for data through a Biostatistics course, he shifted to a Master’s in Public Health with a concentration in Epidemiology. This transition exposed him to data science, ultimately leading him to work in private industry as a data analyst. He has developed expertise in various tools and technologies, including Tableau, SQL, Python, and dbt, and has experience architecting data solutions in Google Cloud Platform (GCP).12
Before his current role, he served as a Senior Data Engineer at WellSky, where he managed the end-to-end data pipeline for their Social Care Coordination solution, involving data extraction, transformation, and visualization.12
Highlights
Read the docs.
If you don’t hear this early in your career, well, you wish you had.
When it’s time to pick up a new tool or new language, reading and referencing the docs is a great way to start learning.
As an example, I am picking up Terraform as we build out our cloud infrastructure in GCP. As a configuration language, it’s a little different than coding something new.
But it has great docs.
When I need to learn about cloud functions or creating BigQuery tables or whatever, it’s easy to find the right doc and get the syntax I need.
Need to make an API call? Check the API reference.
Learn how to find the docs for tools and parse them for what you need. It will accelerate your learning.
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I write about how to start a new career in analytics. Follow me for more insights.
Fight for uninterrupted work time.
I finally got an afternoon of no meetings.
I finally got to focus on one thing for hours.
I researched and researched and read and researched a topic that is becoming super important to our engineering team.
I finally felt like I made some progress on that topic.
It felt good.
Protect those stretches of emptiness.
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I write about how to start a new career in analytics. Follow me for more insights.
